Mittenwalde Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Mittenwalde Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.10625	1.2		5.8625	3.3
	0.8124999999999999	-0.8		5.4312499999999995	1.9
	0.3562500000000001	-2.4		4.38125	1.4
	-0.0875	-4		4.15	-0.5
	-0.7562499999999999	-4.5		2.88125	-0.6
	-1.2625000000000004	-5.1		3.0624999999999996	-0.8
	-0.86875	-6.7		3.31875	-2.7
	-0.012500000000000039	-9.1		3.4312500000000004	-3.4
	0.44374999999999987	-6.5		3.9000000000000004	-3.5
	-0.3750000000000002	-9.9		3.65	-3.9
	-1.0250000000000001	-9.8		2.9187499999999997	-3.7
	-0.012500000000000011	-10.8		3.4125000000000005	-0.4
	0.53125	-0.2		4.09375	1.3
	0.19999999999999993	1.3		3.9125	3.8
Jan.	-0.15624999999999997	0.4		3.80625	3.6
	-0.21874999999999994	1.4		3.3624999999999994	4.5
	-1.08125	-0.7		3.25	3.2
	-2.1125000000000003	-1.3		2.275	2.2
	-1.7937500000000002	-1.2		2.1312499999999996	3.1
	-2.431250000000001	-1.5		1.8375000000000001	4.3
	-2.6062499999999997	-1.1		1.2750000000000001	3.4
	-2.6937499999999996	-3.3		1.5437500000000002	0
	-3.3	-3.9		1.1375000000000002	0
	-2.4499999999999993	-2.9		2.21875	0.2
	-1.6062499999999997	-2.6		2.125	0.3
	-2.6812500000000004	0.1		1.775	1.1
	-1.8437500000000004	-0.2		3.53125	0.6
	-0.6687499999999998	-1.8		3.90625	0.6
	-0.9375000000000001	-1.6		3.75625	0.1
	-0.9062500000000002	-1.7		3.5875	1.2
	-1.49375	-5.1		3.006249999999999	-1.3
	-1.3125000000000002	-8		3.53125	-4.1
	-1.2124999999999995	-8.7		3.34375	-4.4
	-0.5437500000000002	-8		3.8125	-3.3
	-0.925	-5.8		4.081250000000001	-1.1
	-1.1812500000000004	-2.8		3.2875000000000005	0.8
	-1.08125	0.7		3.2874999999999996	2.8
	-1.9812500000000002	0.1		3.1875	1.5
	-2.2437499999999995	-0.7		2.89375	1.6
	-1.83125	-0.9		3.65	2.4
	-1.4312500000000001	-1.1		3.8937500000000003	4.2
	-1.3937499999999998	2.5		3.3000000000000003	4.2
	-2.025	4		3.575	8.4
	-1.5875000000000001	-0.2		4.06875	5.7
	-1.6875000000000004	-2.2		4.625	1
Feb.	-1.4187499999999997	-3.9		5.58125	-0.1
	-0.3125	-3.9		6.54375	2.2
	0.018750000000000155	0.6		6.456249999999999	1.6
	-0.24999999999999983	-4		6.35	0.6
	-0.02499999999999991	-5.6		5.5	0.2
	0.05624999999999997	-6.3		5.8500000000000005	0.2
	1.2374999999999998	0.4		6.5874999999999995	5.7
	0.58125	4.3		7.0062500000000005	9.8
	0.20624999999999993	5.9		6.5375	9.2
	-0.006249999999999936	5.1		6.943749999999999	6.8
	0.3187500000000001	2.6		7.2250000000000005	9.7
	0.22499999999999995	3.7		6.481249999999998	13.5
	-0.28125000000000017	7.5		7.225000000000001	16.3
	0.48124999999999996	7.7		6.3875	16.7
	-0.050000000000000044	5.9		6.8875	11
	0.12500000000000008	3.8		6.95	12.9
	0.12499999999999994	4.6		7.7250000000000005	14.1
	0.44999999999999984	4.2		8.093750000000002	10.3
	0.6000000000000001	2.6		7.718749999999999	12.4
	-0.14374999999999996	3.1		7.418749999999999	14.2
	0.3687499999999999	5		7.343750000000002	14.2
	0.11874999999999994	7.2		7.937500000000002	16
	0.47500000000000003	5.6		9.0625	15.3
	0.575	7.4		8.85625	15.1
	1.2437500000000001	8		8.418750000000001	16.1
	1.60625	8.1		8.29375	12.3
	2.04375	7		9.343749999999998	15
	1.6624999999999996	5.8		8.668750000000001	15.5
Mar.	1.94375	4.6		8.087499999999999	6.4
	1.63125	3.9		8.5	8
	1.80625	1		9.643749999999999	10.2
	1.8437500000000004	2.6		9.65625	12.8
	1.4437500000000003	5.4		10.000000000000002	13.7
	2.0875	6.4		10.437499999999998	12.4
	2.7312500000000006	6.2		10.9125	11.9
	2.4125	4		10.587499999999999	13.6
	3.03125	4.4		10.53125	13.9
	1.46875	6.7		11.174999999999999	14.8
	2.05625	4.2		11.387500000000003	11.6
	2.5124999999999997	2		10.4375	8
	1.6874999999999996	-0.6		10.537499999999998	9.6
	2.8750000000000004	1.7		12.09375	11.3
	4.15625	1		12.6875	10
	3.35	3.1		12.2375	7.8
	3.7812500000000004	1.7		11.9375	4
	3.1312500000000005	0.6		11.068750000000001	12.1
	2.36875	2.2		11.893750000000002	12.3
	3.3	4.6		12.431249999999997	10.4
	3.6500000000000004	5.5		12.593749999999998	13.9
	3.83125	7.3		11.387500000000001	18.1
	3.26875	4.9		12.825000000000001	12.5
	4.3	2.5		14.16875	13.3
	5.0562499999999995	1.3		13.962499999999999	13.2
	4.4375	-0.4		14.406249999999998	11
	4.562500000000001	0.5		14.537500000000001	8.7
	5.1625	2.2		13.612499999999997	13.6
	4.95	4.1		13.89375	8.6
	6.143750000000001	6.4		14.212499999999999	15.5
	5.4437500000000005	7.3		13.249999999999996	13.3
Apr.	5.28125	3.8		14.193750000000003	16.6
	4.9875	7.6		14.200000000000003	19.4
	5.075	8		14.762500000000001	18.9
	4.856249999999999	7.5		15.14375	20.4
	4.7749999999999995	4.9		15.156250000000002	15.5
	5.262500000000001	3.3		15.975	8.6
	5.88125	0.5		15.993749999999999	13.3
	5.7250000000000005	1.4		15.75	16.5
	6.4875	4.1		15.81875	16.2
	6.125	4.2		16.6125	15.8
	6.662499999999999	4.6		16.55625	15.9
	5.9937499999999995	2.9		15.668750000000003	13.8
	5.83125	3.3		15.45625	15.8
	6.25	2.9		17.23125	14.1
	7.668749999999999	1.8		18.89375	12.9
	7.906249999999999	2.8		17.968750000000004	18.1
	7.550000000000001	7		18.0125	22.5
	7.593749999999999	9.4		16.2375	24.9
	7.0625	12.2		16.650000000000002	26.8
	7.19375	13		15.6875	22.2
	6.76875	11.3		16.3375	18.7
	6.6375	7.8		16.44375	13.3
	7.63125	6		17.41875	8.9
	7.193749999999999	4		17.581250000000004	15.2
	8.725	5		19.849999999999998	17.9
	9.375000000000002	6.1		20.262499999999996	19.9
	10.025000000000002	7.1		20.6375	18.7
	9.65625	3.7		20.150000000000006	10.5
	8.65625	4.1		17.61875	12.5
	8.4125	6.4		17.2	13.7
May	7.543750000000001	4.4		17.2	15.6
	8.00625	4.5		17.781249999999996	14.6
	8.95625	4.5		18.287499999999998	17.9
	8.775	8.4		18.5875	18.8
	9.83125	7.4		20.262500000000003	19
	10.856250000000001	10.5		20.9625	19.1
	11.112499999999999	9.8		21.668749999999996	20.6
	11.3	11.4		21.543750000000003	22.2
	11.4	13.6		21.318750000000005	27.5
	11.11875	14.6		21.01875	27.5
	10.687500000000002	11.9		19.050000000000004	25.8
	10.343750000000002	13.9		19.9	29
	10.793750000000001	11.7		19.8875	22
	10.39375	8.3		20.05625	21.3
	10.893749999999999	9.5		20.3875	25.9
	11.06875	15		21.731250000000006	23.8
	11.3375	11.5		22	23.6
	11.825000000000001	13		21.162499999999998	23.1
	11.65625	12.1		21.650000000000002	25.5
	12.168750000000001	13.9		23.062500000000004	20.4
	12.55625	11.3		23.09375	23.2
	12.812500000000002	13		24.450000000000003	20.2
	13.80625	10.8		24.300000000000004	24.3
	13	14		23.400000000000002	22.4
	13.212500000000002	11.5		23.968750000000004	25.3
	13.874999999999998	11.9		24.537499999999994	20.4
	14.231250000000001	10.6		24.256249999999998	20.7
	13.924999999999999	11.1		24.293749999999996	19.7
	13.0625	8.7		23.04375	16.9
	12.9375	11.7		22.337500000000002	20.6
	12.706250000000002	10.1		22.625	17.4
Jun.	13.1	11.3		23.4375	19.4
	12.8375	7.7		22.193749999999994	22.1
	13.20625	11.7		24.112499999999997	24.9
	14.73125	17		25.475	28.6
	14.79375	18		25.5625	34.1
	14.362500000000002	20.2		23.224999999999998	32.3
	13.137500000000001	18.5		22.925	32.1
	14.137499999999998	14.8		23.987500000000004	27.6
	13.850000000000001	14		22.68125	28.6
	13.737499999999999	15.7		23.075000000000003	31.8
	14.531250000000002	19.7		23.86875	34
	15.0125	16.7		25.131250000000005	34.1
	14.149999999999999	20.2		24.299999999999997	39.5
	14.618749999999999	23.6		25.762500000000003	38.8
	15.80625	19.6		25.93125	30
	14.70625	18.1		24.2625	24.8
	14.256250000000003	16		24.156250000000004	24.5
	14.700000000000001	14.4		23.993750000000002	28.2
	14.1875	13.5		24.818749999999998	22.1
	14.8375	11.6		24.84375	22.3
	15.80625	15		25.41875	24.1
	15.056250000000002	13		24.756249999999998	18.1
	14.543750000000001	16.3		24.60625	23.7
	14.249999999999998	11.1		24.05	23.6
	14.5	11.3		24.58125	24.1
	14.8375	14		24.225000000000005	27.6
	15.33125	13.2		25.700000000000003	25.4
	15.674999999999997	16		24.375	30.3
	15.281250000000002	15.8		24.724999999999998	29.9
	14.793749999999998	15.8		23.44375	25.3
Jul.	14.893749999999999	13.9		23.606250000000003	27
	14.825	15.7		24.431250000000002	29.4
	15.081249999999999	18.2		25.31875	29.9
	15.231250000000001	16.4		25.206249999999997	26.3
	15.456249999999999	13.1		26.075000000000003	22.8
	16.331249999999997	11.9		26.924999999999997	18.2
	16.63125	10.4		25.4125	22.1
	16.550000000000004	11.9		25.212499999999995	19.5
	15.956250000000002	12.5		25.025	20
	15.2	11.6		25.956250000000004	24.2
	16.556250000000002	13.8		25.812500000000004	28.7
	15.856250000000003	17.4		25.818749999999998	28.6
	16.856250000000003	15.9		25.937500000000004	22.6
	17.087500000000002	12.1		25.78125	23.4
	16.6875	16.4		25.10625	30.5
	16.093750000000004	19.1		24.343749999999996	37.2
	15.58125	19.2		24.275	31.6
	16.1	14.9		25.937500000000004	21.1
	16.037499999999998	13.4		26.3375	24.8
	17.05	14.4		26.58125	31
	16.918750000000003		20.4	25.71875		34
	16.0875		20.8	24.5625		33
	15.375		19.9	25.537500000000005		29.5
	15.856249999999998		14.2	25.831249999999997		22.3
	16.55		12.9	26.53125		27.3
	16.65625		15.2	26.21875		31.3
	15.837499999999999		19.6	25.306250000000002		35.5
	15.718750000000004		18	25.068749999999998		28
	15.46875		15.5	25.10625		25.1
	15.637500000000001		16	25.70625		26.1
	16.3125		16.2	26.437499999999996		25.7
Aug.	16.65625		16.3	26.181250000000002		26.2
	16.224999999999998		16.2	25.5375		25.9
	15.918750000000001		15.9	25.71875		25.9
	16.318749999999998		16.4	25.61875		25
	16		15.7	24.28125		25.4
	15.0125		15.6	24.543750000000006		25.5
	15.13125		15.3	25.568749999999998		24.9
	15.475000000000003		15.1	24.962500000000002		24.3
	15.13125		14.9	24.387500000000006		24.6
	14.906250000000002		14.9	24.68125		24.8
	15.349999999999998		15.4	24.625		25
	15.231250000000001		15.3	24.19375		24.4
	15.043750000000003		15	23.868750000000002		24.1
	14.41875		15	23.331249999999997		24.3
	14.325		14.7	23.98125		23.4
	15.037500000000001		14.5	23.76875		23.1
	14.812499999999998		14.3	23.725		23.5
	13.28125		13.1	22.05		22.7
	12.9		13.3	21.381249999999998		21.7
	13.406250000000004		14.1	22.543750000000003		23
	14.200000000000001			23.706249999999997
	14.08125			23.54375
	13.59375			22.887499999999996
	13.51875			22.318749999999998
	12.85625			22.406249999999996
	13.725000000000001			22.456249999999997
	13.86875			22.893750000000004
	13.9			22.787499999999994
	13.662500000000001			22.806250000000002
	13.081249999999999			20.868750000000002
	12.475			20.25
Sep.	12.875			21.25
	12.431250000000002			20.28125
	11.75625			21.0375
	12.056250000000002			19.881249999999998
	11.337499999999999			20.275000000000006
	11.26875			20.1375
	10.9375			20.4125
	10.318750000000001			19.175
	10.168749999999998			18.856249999999996
	10.51875			19.075
	11.0375			18.075
	10.7875			19.056250000000002
	11.575000000000001			18.825
	10.387500000000001			18.093749999999996
	9.93125			17.89375
	9.493749999999999			17.906249999999996
	9.137499999999998			17.193749999999994
	9.0625			17.24375
	9.537500000000001			17.424999999999997
	9.543750000000001			17.056250000000002
	9.675			16.49375
	9.35			16.381249999999998
	8.637500000000001			15.674999999999999
	8.33125			14.743749999999999
	8.03125			15.462499999999997
	8.4875			15.399999999999999
	8.50625			15.437499999999998
	8.225			14.831249999999999
	7.3			15.00625
	7.7875			14.518749999999997
Oct.	8.243750000000002			14.175000000000002
	7.8375			13.66875
	7.70625			15.15
	7.0687500000000005			14.76875
	7.15			13.818750000000001
	7.937499999999999			14.29375
	7.856250000000001			14.824999999999998
	8.350000000000001			14.306250000000004
	7.9125000000000005			14.3
	7.9375			13.9125
	7.743750000000001			13.487499999999999
	7.787499999999999			13.85625
	6.76875			13.20625
	7.15625			12.662499999999998
	6.531250000000001			12.84375
	6.8374999999999995			12.78125
	6.643750000000001			12.55625
	6.624999999999999			12.850000000000001
	7.08125			12.706249999999999
	6.4375			12.25625
	6.093749999999999			11.375
	6.6625000000000005			11.662500000000001
	6.456249999999999			11.4375
	6.19375			11.24375
	5.5375000000000005			10.787499999999998
	5.637499999999999			10.25625
	4.581250000000001			9.9
	4.05625			8.899999999999999
	4.7125			10.05625
	4.69375			9.512500000000001
	4.456250000000001			8.6375
Nov.	4.124999999999999			9.043750000000001
	3.5500000000000003			7.975
	3.0499999999999994			7.587500000000001
	3.275			7.506249999999999
	3.6125			7.85625
	3.075			7.006249999999999
	1.5124999999999997			6.00625
	1.4187499999999995			5.512499999999998
	1.76875			6.874999999999999
	1.65			6.4624999999999995
	1.3749999999999998			5.731249999999999
	1.8249999999999997			5.7437499999999995
	1.4374999999999998			5.4125000000000005
	1.4500000000000002			5.768750000000001
	0.275			4.7437499999999995
	-0.40000000000000013			3.8062500000000004
	-0.89375			3.54375
	-0.7812500000000001			3.8374999999999995
	-0.8			3.4687499999999996
	-0.3062499999999999			3.7624999999999997
	0.07499999999999994			4.00625
	0.5625			4.25
	0.99375			4.793749999999999
	1.35			5.081250000000001
	1.46875			4.94375
	0.6000000000000001			4.375
	0.99375			4.6312500000000005
	0.48749999999999993			4.5375000000000005
	-0.5437500000000001			3.73125
	-0.2124999999999999			3.40625
Dec.	-0.4687499999999999			3.9875000000000003
	0.26874999999999993			4.325
	1.5875			5.250000000000001
	1.125			5.293749999999999
	1.2625000000000002			5.2875000000000005
	1.46875			5.456250000000001
	1.21875			5.0375
	1.4062499999999998			5.343749999999999
	2.36875			5.874999999999999
	1.8000000000000003			6.137499999999999
	1.9562500000000005			5.856249999999999
	1.9000000000000001			5.8875
	1.5125000000000002			4.85625
	0.675			4.90625
	0.7374999999999999			3.6812500000000004
	0.15			4.5687500000000005
	1.8933333333333333			6.126666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

40°C

Highest Temp

27 Jun. 26

-11°C

Lowest Temp

12 Jan. 26

Seasonal Breakdown

Hottest MonthJune26.09°C

Coldest MonthJanuary-3.04°C

Wettest MonthAugust3.05mm

Windiest MonthJuly21.7km/h

Mittenwalde Climate Change InsightsSee how climate patterns are evolving over time. Temperature shifts, rainfall trends, and extreme events—all in one place.

Weather City Ranking GloballyExplore Real time of the world’s hottest & Coldest Cities based on current temperature data.

Frequently Asked Questions

1. What is the hottest month in Mittenwalde historically?

August is historically Mittenwalde's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2026-06-27.

2. What is the coldest month in Mittenwalde historically?

January is Mittenwalde's coldest month, with average minimum temperatures around -1°C. The all-time record low of -19°C was recorded on 2010-01-26.

3. What is the average annual rainfall in Mittenwalde over the past 17 years?

Mittenwalde's average annual rainfall is approximately 612.2mm, based on records spanning 17 years.

4. How many rainy days does Mittenwalde experience on average per year?

Mittenwalde historically records approximately 198.05 rainy days per year. July has the highest number of rain days at an average of 18.3 days.

5. What is the all-time highest temperature ever recorded in Mittenwalde?

The all-time highest temperature recorded in Mittenwalde is 40°C on 2026-06-27.

6. What is the all-time lowest temperature ever recorded in Mittenwalde?

The all-time lowest temperature recorded in Mittenwalde is -19°C on 2010-01-26.

7. What is the windiest time of year in Mittenwalde historically?

Mittenwalde experiences its strongest winds during January. The historic gust record of 51.1 kph was recorded on 2017-10-05.

8. What is the highest and lowest humidity in Mittenwalde during a year?

Usually, Mittenwalde's humidity peaks in January at around 86.1% and drops to its lowest in August at approximately 63.5%.

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Mittenwalde Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Mittenwalde Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Mittenwalde Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Mittenwalde Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Mittenwalde Historic Weather Records
Analyse hottest, coldest, windiest & wettest days